Nano-X Imaging's (Nanox) deep learning subsidiary Nanox AI has received CE marking for HealthOST, which analyzes routine CT scans to assess vertebral height loss and bone mineral density.
The company received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for the software in 2022. HealthOST aims to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine, such as osteoporosis.
Since the CT scans analyzed by HealthOST are performed for other clinical indications, no additional imaging, radiation, or patient time is required, the company highlighted. It can also be integrated into an existing PACS.
HealthOST is the upgraded version of HealthVCF. The latter was evaluated in the AI-enabled Detection of OsteoPorosis for Treatment (ADOPT) study at four U.K. National Health Service (NHS) trusts and coordinated by the longstanding clinical users at Oxford.
For the study, the software analyzed 37,220 routine medical CT scans and identified over 3,450 new asymptomatic patients with vertebral compression fractures.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
